使用计划来理解自然语言

ACM '76 Pub Date : 1976-10-20 DOI:10.1145/800191.805524

R. Wilensky

{"title":"使用计划来理解自然语言","authors":"R. Wilensky","doi":"10.1145/800191.805524","DOIUrl":null,"url":null,"abstract":"Our ability to build a natural language understanding system is limited by the degree to which we can organize and apply world knowledge. This paper describes a program, called PAM, that has knowledge about people's intentions. PAM uses its knowledge to infer the relationships between sentences in a text. A sample run of the program is presented and is described in detail. The inference mechanisms of PAM are compared to those of other knowledge-application programs.","PeriodicalId":379505,"journal":{"name":"ACM '76","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1976-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Using plans to understand natural language\",\"authors\":\"R. Wilensky\",\"doi\":\"10.1145/800191.805524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our ability to build a natural language understanding system is limited by the degree to which we can organize and apply world knowledge. This paper describes a program, called PAM, that has knowledge about people's intentions. PAM uses its knowledge to infer the relationships between sentences in a text. A sample run of the program is presented and is described in detail. The inference mechanisms of PAM are compared to those of other knowledge-application programs.\",\"PeriodicalId\":379505,\"journal\":{\"name\":\"ACM '76\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1976-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM '76\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/800191.805524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM '76","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/800191.805524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 12

摘要

我们建立自然语言理解系统的能力受到我们组织和应用世界知识的程度的限制。本文描述了一个名为PAM的程序，它了解人们的意图。PAM使用它的知识来推断文本中句子之间的关系。给出了该程序的一个示例运行，并对其进行了详细描述。将PAM的推理机制与其他知识应用程序的推理机制进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Using plans to understand natural language

Our ability to build a natural language understanding system is limited by the degree to which we can organize and apply world knowledge. This paper describes a program, called PAM, that has knowledge about people's intentions. PAM uses its knowledge to infer the relationships between sentences in a text. A sample run of the program is presented and is described in detail. The inference mechanisms of PAM are compared to those of other knowledge-application programs.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

ACM '76

自引率

0.00%

发文量